US10832805B2 - Method and system for generating electronic medical reports - Google Patents
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- US10832805B2 US10832805B2 US14/926,474 US201514926474A US10832805B2 US 10832805 B2 US10832805 B2 US 10832805B2 US 201514926474 A US201514926474 A US 201514926474A US 10832805 B2 US10832805 B2 US 10832805B2
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- 238000000034 method Methods 0.000 title claims description 27
- 238000002059 diagnostic imaging Methods 0.000 claims description 14
- 210000000746 body region Anatomy 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 2
- 238000003384 imaging method Methods 0.000 description 22
- 238000010586 diagram Methods 0.000 description 9
- 230000005855 radiation Effects 0.000 description 5
- 230000001419 dependent effect Effects 0.000 description 4
- 208000014674 injury Diseases 0.000 description 4
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- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000003325 tomography Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000002595 magnetic resonance imaging Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 238000002600 positron emission tomography Methods 0.000 description 2
- 210000001015 abdomen Anatomy 0.000 description 1
- 210000003484 anatomy Anatomy 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000002146 bilateral effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 210000004351 coronary vessel Anatomy 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 210000004373 mandible Anatomy 0.000 description 1
- 210000000496 pancreas Anatomy 0.000 description 1
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- 238000012285 ultrasound imaging Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24578—Query processing with adaptation to user needs using ranking
Definitions
- the present embodiments relate to a method and system for generating electronic medical report.
- the method and system of the present embodiments may be used for generating electronic medical reports having uniform nomenclature in certain fields.
- the diagnostic imaging field is heading towards standardization.
- an imaging report is generated after the imaging examination is executed.
- the imaging exam may be conducted using various modalities such as X-ray, computerized tomography, magnetic resonance imaging and the like.
- the technicians provide the basic information such as, patient name, date of birth, scan type, and protocol used, required by the medical imaging modalities.
- RDSR Radiation Dosage Structured Report
- the dosage information may be recorded in the RDSR by the imaging modality or the technician.
- Protocol name is one of the important fields in the RDSR, as the protocol name is useful at the time of auditing. Protocol name may be based on parameters such as body region, modality type, laterality, anatomic focus and the like. Generally, the technicians enter informal names as protocol names, which do not relate to any of the aforementioned parameters. In some cases, the protocol names may not include the required information such as body regions or anatomical region. Further, such informal naming practices lead to non-standardized naming practices across healthcare institutions. As a result, it is difficult to establish national registry, such as a radiation dosage national registry, to facilitate comparisons among different types of procedures using different medical imaging modalities across various healthcare institutions.
- RadLex Playbook aims to provide a standard system for naming radiology procedures based on the characteristics of a medical imaging exam such as modality or body part.
- the RadLex Playbook provides a unique RPID for each procedure.
- the RPIDs are to be entered in the RDSRs for making the naming convention standardized.
- the use of RPID also results in formation of national dosage registry where the dosage values of various procedures may be compared and improved.
- the task of finding out the RPID by a technician during/before the medical imaging procedure is not performed.
- the RPIDs are mapped to the informal names provided in the RDSRs during auditing. This is a cumbersome and time consuming task.
- the present embodiments may obviate one or more of the drawbacks or limitations in the related art.
- medical reports that include predefined protocol names are generated. Including predefined protocol names in the medical reports is very beneficial during auditing, as the medical reports will have a standard terminology across healthcare institutions.
- a method, a computing device, and a system for generating medical reports that include predefined protocol names are provided.
- the method and apparatus enables a technician to furnish the relevant predefined protocol names in a medical report before commencing the exam on a patient.
- the method includes, at act 62 , generating a search query for a predefined protocol name for the electronic medical report.
- the search query is generated by a user before commencing the imaging examination on the patient.
- a computing device determines at least one characteristic of the medical image and automatically generates a search query based on the at least one characteristic of the medical image. For example, the computing device may determine characteristics of a medical image such as body region, modality type, and exam type from an appointment schedule.
- the computing device may generate a search query for a predefined protocol name based on the characteristics of the medical image.
- the search query for the predefined protocol names is processed.
- the search query is processed by extracting keywords that indicate a characteristic of a medical image. Thereafter, one or more analogous terms corresponding to the keywords are determined using a medical dictionary database. Further, a search phrase is generated based on the one or more analogous terms.
- One or more predefined protocol names are identified from a plurality of protocol names in a protocol names database.
- the predefined protocol names are identified by comparing the analogous terms in the search phrase with one or more medical dictionary terms in the protocol names database.
- the protocol names database is indexed based on the medical dictionary terms that are present the medical dictionary database 38 . Thereafter, one or more predefined protocol names corresponding to the matching terms are retrieved from the protocol names database.
- a rank for the protocol names is computed based on best matching criteria.
- the best matching criteria may be a relevance of the search phrase with the medical dictionary terms and the number of terms in the search phrase matching with indexed medical dictionary terms.
- predefined protocol names are selected based on the rank associated with the protocol name.
- the predefined protocol names may be selected manually by the technician operating the imaging modality.
- An electronic medical report is generated using the one or more predefined protocol names.
- FIG. 1 illustrates an exemplary block diagram 1 of a computing device for generating electronic medical records, in accordance with an embodiment
- FIG. 2 illustrates an exemplary block diagram of a system for generating medical reports, in accordance with an embodiment
- FIG. 3 illustrates an exemplary block diagram of an apparatus for generating medical reports, in accordance with an embodiment
- FIG. 4 illustrates a flow diagram of method acts involved in generating a medical report, in accordance with an embodiment
- FIG. 1 illustrates an exemplary block diagram 1 of a computing device 2 for generating electronic medical records, in accordance with an embodiment.
- the computing device 2 includes a processor 3 , a memory 4 , a storage unit 12 , an input/output (I/O) unit 22 , and a communication module 24 .
- the computing device 2 is also communicatively coupled to an imaging modality 20 .
- the imaging modality 20 may include, but is not limited to, an X-ray modality, a magnetic resonance imaging (MRI) modality, a positron emission tomography (PET) modality, an ultrasound imaging modality and a computerized tomography (CT) modality.
- the aforementioned components are connected to each other by a bus unit 25 .
- the processor 3 may be any type of computational circuit, such as, but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a graphics processor, a digital signal processor, or any other type of processing circuit.
- the processor 3 may also include embedded controllers, such as generic or programmable logic devices or arrays, application specific integrated circuits, single-chip computers, and the like.
- the memory 4 may be volatile memory and non-volatile memory. A variety of computer-readable storage media may be stored in and accessed from the memory 4 .
- the memory 4 may include any suitable elements for storing data and machine-readable instructions, such as read only memory, random access memory, erasable programmable read only memory, electrically erasable programmable read only memory, hard drive, removable media drive for handling compact disks, digital video disks, diskettes, magnetic tape cartridges, memory cards, and the like.
- the memory 4 includes one or more modules for generating medical reports with predefined protocol names, according to one or more embodiments described above.
- the memory 4 includes a search query generation module 6 , a protocol name identification module 8 , and a report generation module 10 .
- the search query generation module 6 includes processor executable instruction for generating a search query for the predefined protocol names.
- the search query generation module 6 is configured for generating a search query for a predefined protocol name for the electronic medical report.
- the search query generation module 6 is configured for determining at least one characteristic of the medical image.
- the characteristic of the medical image may include a body region, an exam type, and a modality type. Thereafter, the search query generation module 6 is configured for automatically generating a search query based on the at least one characteristic of the medical image.
- the protocol name identification module 8 is configured for processing the search query for the predefined protocol names. Further, the protocol name identification module 8 is configured for identifying one or more predefined protocol names from a plurality of protocol names in a protocol names database.
- the protocol name identification module 8 is configured for computing a rank for the protocol names based on best matching criteria. The best matching criteria is based on the terms in the search query and the analogous terms thereof. The protocol name identification module 8 is further configured for selecting the one or more of the identified predefined protocol names based on the rank associated with the protocol name.
- the report generation module 10 is configured for generating an electronic medical report using the one or more predefined protocol names. The report generation module 10 is further configured for assigning the uniform protocol name to an appropriate field in the electronic medical report.
- the storage unit 12 may be a non-transitory storage medium configured for storing information such as medical dictionary, medical reports data, and protocol names data.
- the storage unit 12 includes a medical dictionary database 14 , a protocol names database 16 , and a medical reports database 18 .
- the storage unit 12 includes a medical dictionary database that is referred to for generating a search phrase based on the search query.
- the storage unit 12 may be located at a remote location and may be accessed via a network connection.
- the information in the storage unit 12 may be utilized for searching an appropriate predefined protocol name for a medical report.
- the input output module 22 may include a keyboard, keypad, touch sensitive display screen, mouse, and the like.
- the input/output devices 22 enable the user to interact with the device 3 for controlling the operating state.
- a display unit may display a screen that includes one or more graphical objects indicating the status associated with the processing of speech signals.
- the device 2 further includes a communication module 24 for communicating with other devices via a network connection.
- the communication module 24 may include a Wi-Fi transceiver, a network interface card (NIC), and the like.
- FIG. 2 illustrates an exemplary block diagram of a system 30 for generating medical reports, in accordance with an embodiment.
- the block diagram 30 includes a server 32 , client devices 36 . 1 - 36 .N, a medical dictionary 38 , a protocol names database 40 , and a medical report database 42 .
- the server 32 is connected to the client devices 36 . 1 - 36 .N through network 34 .
- the server 32 is connected to the databases 38 , 40 and 42 via network 36 .
- the network 34 and the network 36 may be the same.
- the client devices 36 . 1 - 36 .N may include an imaging modality, a desktop computer, a mobile computer, and the like.
- the imaging modality may include a CT modality, an MR modality, and a PET modality.
- the imaging modalities may include input/output devices that enable a technician for inputting search queries.
- the client devices 36 . 1 - 36 .N may include a processor and a memory.
- the memory associated with the client devices 36 . 1 - 36 .N may include search query generation module 6 .
- the server 32 includes the memory 4 , which includes a search query generation module 6 , a protocol name identification module 8 , and a report generation module 10 .
- the server 32 is configured to accept search queries from the client devices 36 .
- the protocol name identification module 8 is configured for processing the search query for the predefined protocol name.
- the search query is processed by extracting keywords from the search query.
- the keywords indicate a characteristic of a medical image.
- the characteristics of a medical image may include, but are not limited to, a body region, examination type, modality type, and protocol description.
- the protocol name identification module 8 is configured to determine one or more analogous terms corresponding to the keywords using a medical dictionary database.
- the medical dictionary database 38 includes analogous or equivalent terms for every term related to the medical or diagnostic field.
- the medical dictionary database 38 may be indexed based on the terms used in the medicine or diagnostics field.
- the protocol name identification module 8 retrieves one or more analogous terms for every term in the search query.
- the protocol name identification module 8 is configured to generate a search phrase based on the one or more analogous terms.
- the search phrase is used for searching a protocol names database 40 for retrieving relevant predefined protocol names for use in the medical report.
- the protocol names database 40 is indexed by associating a medical dictionary term with appropriate predefined protocol names.
- the server 32 may compute a rank for the protocol names based on best matching criteria. The best matching criteria may include a relevance score associated with the predefined protocol name. Further, the server 32 is configured to select the one or more of the identified predefined protocol names based on the rank associated with the protocol name.
- the selected predefined protocol name is assigned to a medical report.
- the medical report is a Radiation Dosage Structured Report (RDSR).
- RDSR Radiation Dosage Structured Report
- FIG. 3 illustrates an exemplary diagram of an apparatus 50 for generating medical reports, in accordance with an embodiment in which the server 32 may receive a search query from an imaging modality 48 for searching medical reports based on the predefined protocol names. Once the search query is received, the electronic medical report repository is searched based on the terms in search query. The search query includes a predefined protocol name.
- the apparatus 50 is set up in a cloud computing environment.
- the medical dictionary database 38 and the protocol names database 40 is set up in a cloud environment.
- the medical dictionary database 38 and the protocol names database 40 are appropriately indexed based on the medical terms.
- the client devices 36 . 1 - 36 .N may generate a search query for a predefined protocol name.
- the search query is generated by an imaging modality.
- the search query may be generated by a technician using the imaging modality.
- the search query may contain one or more search terms associated with body region, modality type, laterality, population, contrast type, anatomical focus, and reason for exam.
- body region may include regions of the body such as head and abdomen.
- laterality may include terms such as bilateral, left, or right.
- Reason for exam may include, for example, stroke, screw replacement, and trauma.
- Anatomical focus may include terms such as, but not limited to, pancreas, pulmonary arteries, mandible and coronary arteries.
- the technician may type
- the search query is then processed by the server 32 .
- the server 32 extracts analogous or equivalent terms from the medical dictionary database 38 , which is deployed in the cloud environment.
- the server 32 generates a search phrase that includes the search terms along with the analogous terms extracted from the medical dictionary database 38 .
- the search phrase generated by the server 32 may be as below:
- the search phrase is used to search the protocol names database 40 for a best matching predefined protocol name to be inserted in the medical report.
- the protocol names database 40 is indexed based on the terms of the medical dictionary.
- the predefined protocol names in the protocol names database 40 may be indexed using Lucene free-text search engine. Accordingly, the terms of the search phrase are matched with the indexed terms of protocol names database 40 , and a set of predefined protocol names are shortlisted.
- the set of the predefined protocol names are presented in the display unit associated with the imaging modality 48 .
- the shortlisted predefined protocol names may be ranked based on a best matching score.
- the technician may select a relevant predefined protocol name to be included in the report using an input device.
- a predefined protocol name from the suggested protocol names may be automatically assigned to an appropriate field in the medical report. For example, the technician may select the predefined protocol name PID_3016. Thereafter, the predefined protocol name PID_3016 may be included in the medical report that is generated after performing the imaging procedure on the subject.
- the protocol name suggestion service may be provided at a hospital level or regional level.
- the protocol name suggestion service may be used by all the hospitals to have a uniform protocol name in the medical report.
- the protocol name suggestion service may be used to have a uniform RadLex Playbook ID (RPID) in the RDSR for a particular imaging procedure.
- RPID uniform RadLex Playbook ID
- the medical reports with the predefined protocol names are stored in the medical reports database 42 .
- the medical report database 42 is further indexed based on the predefined protocol names. This enables a user to search the medical records based on predefined protocol names. This feature facilitates the auditing process, as the auditing firm will be able to peruse all the medical records of a particular category. For example, a radiation dosage auditing firm may retrieve all the medical reports having the predefined protocol name PID_3016 in order to examine all the reports with the criteria of Head (body region), CT modality type, population type child, and reason for examination as trauma.
- FIG. 4 illustrates a flow diagram 60 of the method acts involved in generating a medical report, in accordance with an embodiment.
- a search query is generated for a predefined protocol name for the electronic medical report.
- the search query is generated by a user before commencing the imaging examination on the patient.
- a computing device such as computing device 2 determines at least one characteristic of the medical image and automatically generates a search query based on the at least one characteristic of the medical image.
- the computing device 2 may determine characteristics of a medical image such as body region, modality type, and exam type from an appointment schedule. Based on this information, the computing device 2 may generate a search query for a predefined protocol name based on the characteristics of the medical image.
- the search query for the predefined protocol names is processed.
- the search query is processed by extracting keywords that indicate a characteristic of a medical image. Thereafter, one or more analogous terms corresponding to the keywords are determined using a medical dictionary database. A search phrase is generated based on the one or more analogous terms.
- one or more predefined protocol names are identified from a plurality of protocol names in a protocol names database.
- the predefined protocol names are identified by comparing the analogous terms in the search phrase with one or more medical dictionary terms in the protocol names database.
- the protocol names database 40 is indexed based on the medical dictionary terms that are present in the medical dictionary database 38 .
- protocol names database 40 Thereafter, one or more predefined protocol names corresponding to the matching terms are retrieved from the protocol names database 40 .
- a rank for the protocol names is computed based on best matching criteria.
- the best matching criteria may be a relevance of the search phrase with the medical dictionary terms and the number of terms in the search phrase matching with indexed medical dictionary terms.
- one or more of the identified predefined protocol names are selected based on the rank associated with the protocol name.
- the predefined protocol names may be selected manually by the technician operating the imaging modality. In another embodiment, the predefined protocol name may be automatically selected based on the rank associated with the predefined protocol name.
- an electronic medical report is generated using the one or more predefined protocol names. Further, the medical reports are rendered searchable using the predefined protocol names. The feature making the medical reports searchable by predefined protocol name is very beneficial during auditing.
- the embodiments enable standardization of naming conventions at institutional levels. The need for mapping informal protocol names to standardized names is eliminated, which saves both time and resources.
- the embodiments enable standardizing the naming convention and mapping the medical records based on the naming convention at a single instance.
- the protocol name suggestion service based on the embodiments disclosed herein enables the hospitals across the globe to have uniform protocol names for the medical reports such as RDSR.
- the protocol name suggestion service may be made a part of the workflow of imaging examinations, which speeds up the process of auditing the medical reports such as RDSRs.
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- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
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Abstract
Description
-
- Body region: Head
- Modality Type: CT
- Population: Child
- Reason for exam: Trauma
-
- Search Phrase: (Head OR Cranium) AND (Computerized Tomography OR CT) AND (Child OR Pediatric) AND (trauma)
TABLE 1 | |||
Protocol Name | Best Matching score | ||
PID_3016 | 6.25 | ||
PID_1124 | 5.5 | ||
PID_4521 | 4.3 | ||
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CN108962346B (en) * | 2017-05-22 | 2023-12-15 | 深圳大森智能科技有限公司 | Medical examination report electronization method, storage device and mobile terminal |
CN109189786B (en) * | 2018-08-14 | 2020-10-13 | 武汉虹信通信技术有限责任公司 | Method for periodically generating custom report form for network element management system |
EP3618076B1 (en) * | 2018-08-31 | 2023-11-08 | Siemens Healthcare GmbH | Evaluating dose events of medical imaging exams |
EP4383267A1 (en) * | 2022-12-07 | 2024-06-12 | Siemens Healthineers AG | Computer-implemented method for mapping a scan protocol for scanning a patient to a standardized scan protocol |
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